Perimeter Solutions (PRM) EV to EBITDA (2023 - 2025)
Perimeter Solutions' EV to EBITDA came in at 31.06 for Q3 2025, up 138.9% from the prior quarter.
Perimeter Solutions (PRM) EV to EBITDA (2023 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Perimeter Solutions reported EV to EBITDA of 25.42; for FY2024, it came in at 27.29, up 594.1% from FY2023.
- Going back by year, EV to EBITDA was 3.93 in FY2023 (-41.0%) and 6.67 in FY2022.
- The Q3 2025 figure represents the highest quarterly EV to EBITDA in data going back to Q1 2022.
- Year-over-year, EV to EBITDA increased in three of the last six quarters, with growth averaging 154.3%.
- The fastest year-over-year change in EV to EBITDA over five years came in Q4 2024 (growth of 594.1%), and the weakest in Q1 2025 (a decline of 58.4%).
- Business Quant data shows PRM's EV to EBITDA at 13.00 (Q2 2025), 6.03 (Q1 2025) and 27.29 (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn |
| 10 | Perimeter Solutions | 4.43 Bn | 3.59 Bn | 117.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 30.49 |
| Jun 30, 2025 | 12.84 |
| Mar 31, 2025 | 5.99 |
| Dec 31, 2024 | 26.55 |
| Jun 30, 2024 | 19.71 |
| Mar 31, 2024 | 14.18 |
| Dec 31, 2023 | 3.89 |
| Sep 30, 2023 | 2.07 |
| Jun 30, 2023 | 3.20 |
| Mar 31, 2023 | 4.41 |
Perimeter Solutions EV to EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=PRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "PRM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=PRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();